Literature DB >> 25903809

Communicating Down syndrome risk according to maternal age: "1-in-X" effect on perceived risk.

Stefania Pighin1, Lucia Savadori2, Elisa Barilli3, Silvia Galbiati4, Maddalene Smid5, Maurizio Ferrari4,6,7, Laura Cremonesi4.   

Abstract

OBJECTIVE: The appropriateness of the 1-in-X numerical format to convey quantitative medical probabilities is currently under discussion because of its distortive effect on subjective probability assessment. Previous research, however, always asked participants to imagine a hypothetical scenario. The aim of the present research is to support the existence of the 1-in-X effect in a real setting: when pregnant women have to evaluate their personal risk of Down syndrome according to their maternal age.
METHOD: During the first prenatal visit, pregnant women were asked to evaluate their own risk of having a child with Down syndrome according to their age, when such risk was presented either in the 1-in-X or in the N-in-NX format. Then, they were asked to assess their risk of having a child with Down syndrome.
RESULTS: Results showed a systematic higher risk assessment when pregnant women were presented with the 1-in-X format (mean = 3.57, standard deviation = 1.4) than with the N-in-NX format (mean = 3.03, standard deviation = 1.4), P = 0.007. Whereas the effect was shown to be not moderated by a differential comprehension of the two numerical formats, women with a low educational level and those who were at their first pregnancy were shown to be significantly more vulnerable.
CONCLUSION: The present findings corroborate the existence of the 1-in-X effect in a real-world setting, showing that, in pregnant women, the 1-in-X format actually elicits a higher perceived risk of Down syndrome, compared with the N-in-NX format.
© 2015 John Wiley & Sons, Ltd.

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Year:  2015        PMID: 25903809     DOI: 10.1002/pd.4606

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  4 in total

1.  Maternal Age-Specific Rates for Trisomy 21 and Common Autosomal Trisomies in Fetuses from a Single Diagnostic Center in Thailand.

Authors:  Kanoot Jaruthamsophon; Hutcha Sriplung; Chariyawan Charalsawadi; Pornprot Limprasert
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

2.  Doctor, what does my positive test mean? From Bayesian textbook tasks to personalized risk communication.

Authors:  Gorka Navarrete; Rut Correia; Miroslav Sirota; Marie Juanchich; David Huepe
Journal:  Front Psychol       Date:  2015-09-17

3.  Mind the gap: Physicians' assessment of patients' importance weights in localized prostate cancer.

Authors:  Katya Tentori; Stefania Pighin; Claudio Divan; Vincenzo Crupi
Journal:  PLoS One       Date:  2018-07-26       Impact factor: 3.240

4.  How is cervical cancer screening information communicated in UK websites? Cross-sectional analysis of content and quantitative presentation formats.

Authors:  Yasmina Okan; Samuel G Smith; Wändi Bruine de Bruin
Journal:  BMJ Open       Date:  2019-10-28       Impact factor: 2.692

  4 in total

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